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Physics Informed Machine Learning Jobs in Ann Arbor, MI

Experience applying artificial intelligence, machine learning, or large language model workflows to ... threat-informed response. The team works with organizations to build scalable operational ...

Experience applying artificial intelligence, machine learning, or large language model workflows to ... informed defense, and response capabilities. The team works across security platforms, cloud ...

GenAI Python Systems Engineer -Senior Manager

Detroit, MI

$124K - $280K/yr

  • Medical

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  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

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Physics Informed Machine Learning information

See Ann Arbor, MI salary details

$5

$19

$24

How much do physics informed machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for physics informed machine learning in Ann Arbor, MI is $19.63, according to ZipRecruiter salary data. Most workers in this role earn between $12.21 and $24.95 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Ann Arbor, MI?

For Physics Informed Machine Learning jobs in Ann Arbor, MI, the most frequently searched job titles are:

What cities near Ann Arbor, MI are hiring for Physics Informed Machine Learning jobs?

Cities near Ann Arbor, MI with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Ann Arbor, MI as of June 2026, with employment types broken down into 1% Internship, 73% Full Time, 18% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,827 per year, or $19.6 per hour.

Cyber Senior Consultant - AI SOC

Deloitte

Detroit, MI • On-site

Full-time

Re-posted 25 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description


As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering solutions that modernize client security operations across monitoring, detection, response, and automation. In this client-facing role, you will work directly with client stakeholders to design and implement solutions across security information and event management, security orchestration automation and response, telemetry, and artificial intelligence-enabled workflows. You will translate operational requirements into deployable capabilities that improve analyst efficiency, alert quality, and response speed.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Designing and implementing security operations solutions across security information and event management, security orchestration automation and response, telemetry, detection, and response platforms
  • Developing integrations, automation playbooks, and data pipelines that support ingestion, enrichment, triage, investigation, and response workflows
  • Collaborating with security operations center analysts, threat hunters, and client stakeholders to prioritize, test, and tune detection content and operational processes
  • Translating security operations requirements into technical designs, deployment plans, and production-ready engineering solutions
  • Supporting embedded client delivery by leading day-to-day workstream execution, documenting outcomes, and contributing reusable assets and implementation patterns

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients transform security operations through improved monitoring, detection engineering, automation, analytics, and threat-informed response. The team works with organizations to build scalable operational capabilities across enterprise and cloud environments while improving resilience across the cyber lifecycle.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 6+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Experience designing, implementing, or optimizing security information and event management, security orchestration automation and response, detection, telemetry, or response workflows across enterprise security platforms
  • Experience building and maintaining integrations, automations, or engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, endpoint detection and response, threat intelligence, or case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience with data pipeline, observability, event-driven, or workflow orchestration technologies
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, or cloud security certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Qualifications:

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering solutions that modernize client security operations across monitoring, detection, response, and automation. In this client-facing role, you will work directly with client stakeholders to design and implement solutions across security information and event management, security orchestration automation and response, telemetry, and artificial intelligence-enabled workflows. You will translate operational requirements into deployable capabilities that improve analyst efficiency, alert quality, and response speed.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Designing and implementing security operations solutions across security information and event management, security orchestration automation and response, telemetry, detection, and response platforms
  • Developing integrations, automation playbooks, and data pipelines that support ingestion, enrichment, triage, investigation, and response workflows
  • Collaborating with security operations center analysts, threat hunters, and client stakeholders to prioritize, test, and tune detection content and operational processes
  • Translating security operations requirements into technical designs, deployment plans, and production-ready engineering solutions
  • Supporting embedded client delivery by leading day-to-day workstream execution, documenting outcomes, and contributing reusable assets and implementation patterns

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients transform security operations through improved monitoring, detection engineering, automation, analytics, and threat-informed response. The team works with organizations to build scalable operational capabilities across enterprise and cloud environments while improving resilience across the cyber lifecycle.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 6+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Experience designing, implementing, or optimizing security information and event management, security orchestration automation and response, detection, telemetry, or response workflows across enterprise security platforms
  • Experience building and maintaining integrations, automations, or engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, endpoint detection and response, threat intelligence, or case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience with data pipeline, observability, event-driven, or workflow orchestration technologies
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, or cloud security certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Education:Bachelor's DegreeEmployment Type:

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